Stochastic computing (SC), a radical rethinking of computation, defines operations on streams random bits; it trades precision for large advantages in speed. Implementation has been thwarted, though, by the lack an efficient means to properly decorrelate bitstreams at each logic gate SC circuit. This study harnesses recent advances manipulating magnetic skyrmions propose technique telegraph-signal reshuffling that is tailor-made applications. Leveraging two-dimensional diffusive character...

Reliable and efficient perception reasoning in dynamic densely cluttered environments are still major challenges for driver assistance systems. Most of today’s systems use target tracking algorithms based on object models. They work quite well simple such as freeways, where few potential obstacles have to be considered. However, these approaches usually fail more complex featuring a large variety obstacles, is the case urban driving situations. In this paper, we propose new approach robust...

This paper presents a Bayesian model to predict the opening (first strategy) of opponents in real-time strategy (RTS) games. Our is general enough be applied any RTS game with canonical gameplay gathering resources extend technology tree and produce military units we it StarCraft <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> . can also possible trees opponent, but will focus on openings here. The parameters this are learned from...

While the origin of language remains a somewhat mysterious process, understanding how human takes specific forms appears to be accessible by experimental method. Languages, despite their wide variety, display obvious regularities. In this paper, we attempt derive some properties phonological systems (the sound for languages) from speech communication principles. We introduce model cognitive architecture communicating agent, called COSMO (for "Communicating about Objects using Sensory–Motor...

We present a new approach to path planning, called the "Ariadne's clew algorithm". It is designed find paths in high-dimensional continuous spaces and applies robots with many degrees of freedom static, as well dynamic environments - ones where obstacles may move. The Ariadne's algorithm comprises two sub-algorithms, Search Explore, applied an interleaved manner. Explore builds representation accessible space while looks for target. Both are posed optimization problems. describe real...

The goal of the work described is to build a path planner able drive robot in dynamic environment where obstacles are moving. In order do so, authors propose method, called Ariadne's clew algorithm, global based on combination two local planning algorithms: an explore algorithm and search algorithm. purpose collect information about with increasingly fine resolution by placing landmarks searched space. opportunistically check if target can be easily reached from any given placed landmark....

Article A parallel genetic algorithm for the graph partitioning problem Share on Authors: E.-G. Talbi Laboratoire de Génie Informatique / Institut IMAG, University of Grenoble GrenobleView Profile , P. Bessière BP53X, F-38041 Grenoble, France and Authors Info & Claims ICS '91: Proceedings 5th international conference SupercomputingJune 1991 Pages 312–320https://doi.org/10.1145/109025.109102Online:01 June 1991Publication History 39citation1,240DownloadsMetricsTotal Citations39Total...

The task of keyhole (unobtrusive) plan recognition is central to adaptive game AI. "Tech trees" or "build are the core real-time strategy (RTS) strategic (long term) planning. This paper presents a generic and simple Bayesian model for RTS build tree prediction from noisy observations, which parameters learned replays (game logs). unsupervised machine learning approach involves minimal work developers as it leverage players' data (com- mon in RTS). We applied StarCraft1 showed that yields...

Bayesian inference is a powerful approach for integrating independent conflicting information decision-making. Though an important component of robotic, biological, and other sensory-motors systems, general-purpose computers perform with limited efficiency. Here we show that can be efficiently performed stochastic signals, which are particularly adapted to novel low power nanodevices exhibit faults device variations. A simple Muller C-element directly implements Bayes' rule. Complex...

In real-time strategy games (RTS), the player must reason about high-level and planning while having effective tactics even individual units micro-management. Enabling an artificial agent to deal with such a task entails breaking down complexity of this environment. For that, we propose control locally in Bayesian sensory motor robot fashion, higher level orders integrated as perceptions. As complete inference encompassing global unit needs is intractable, embrace incompleteness through...

New families of copulas are obtained in a two‐step process: first considering the inverse problem which consists finding joint distribution from its given marginals as constrained maximization some entropies (Shannon, Rényi, Burg, Tsallis‐Havrda‐Charvát), and then using Sklar's theorem, to define corresponding copula.

In this paper, we present a Bayesian framework for the active multimodal perception of 3-D structure and motion. The design finds its inspiration in role dorsal perceptual pathway human brain. Its composing models build upon common egocentric spatial configuration that is naturally fitting integration readings from multiple sensors using approach. process, will contribute with efficient robust probabilistic solutions cyclopean geometry-based stereovision auditory based only on binaural cues,...

This paper showcases the use of Bayesian models for real-time strategy (RTS) games AI in three distinct core components: micromanagement (units control), tactics (army moves and positions), (economy, technology, production, army types). The strength having end-to-end probabilistic is that distributions on specific variables can be used to interconnect different at levels abstraction. We applied this modeling StarCraft, evaluated each model independently. Along way, we produced released a...

A prerequisite to the design of future advanced driver assistance systems for cars is a sensing system that provides all information required high-level driving tasks. Carsense European project whose purpose develop such new system. It combines different sensors (laser, radar and video) relies on fusion coming from these in order achieve better accuracy, robustness an increase content. This paper demonstrates interest using probabilistic reasoning techniques address this challenging...